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Dr. Viet Pham

Assistant Professor (Computer Science)
13 WESTLAND ROW


Dr. Viet Quoc Pham received the Ph.D. degree in telecommunications engineering from Inje University, Korea, in 2017. He is currently an Assistant Professor in Networks and Distributed Systems with the School of Computer Science and Statistics, Trinity College Dublin, Ireland. He is also a Supervisor with the ADVANCE CRT centre and an Associate Investigator at the CONNECT centre, Ireland. Prior to joining TCD, he was in various academic positions with Kyung Hee University, Changwon National University, and Pusan National University. He specialises in applying convex optimisation, game theory, and machine learning to analyse and optimise cloud edge computing, wireless networks, and IoT systems. Specifically, his research focuses on three main thrusts, including computing (e.g., edge computing, aerial computing, edge of things, and edge AI), intelligence (e.g., wireless AI and federated learning), and networking (e.g., 6G wireless, IoT, intelligent surfaces, metaverse, and blockchain). He was granted the Korea NRF funding for outstanding young researchers for the term 2019-2024. He was a recipient of the Best Ph.D. Dissertation Award from Inje University in 2017, the Top Reviewer Award from the IEEE Transactions on Vehicular Technology in 2020, the Golden Globe Award in Science and Technology for Young Researchers in Vietnam in 2021, and the IEEE ATC Best Paper Award in 2022. He was honored with the IEEE ComSoc Best Young Researcher Award for EMEA 2023 in recognition of my research activities for the benefit of the Communications Society. He is serving or served as an Editor of IEEE Communications Letters, Journal of Network and Computer Applications, and Scientific Reports, and a Lead/Guest Editor of the IEEE Internet of Things Journal, IEEE Internet of Things Magazine, IEEE Transactions on Consumer Electronics, and Computer Communications. He is a senior member of the IEEE.
  6G   ARTIFICIAL INTELLIGENCE   Distributed systems   Edge Intelligence   Internet of Things   Metaverse   Mobile Communications   Mobile Networks   Resource Allocation   Telecommunications   Wireless AI   Wireless Communication
 ENSURE-6G: Evolution in Security and Privacy for 6G Networks
 Privacy Enhancing Connected Cars in 5G and Beyond
 Edge-assisted Activity Recognition Using Skeletal Representation and Deep Learning for Video Surveillance

Details Date
PhD Thesis Foreign Evaluator, National University of Sciences and Technology (NUST), Pakistan 2023
Editor, IEEE Communications Letters 2023 - Present
Editor, Journal of Network and Computer Applications 2020 - Present
Editor, Nature Scientific Reports 2022 - 2023
Guest Editor, IEEE Internet of Things Magazine, Special Issue on Federated Learning for Industrial Internet of Things 2023 - Present
Guest Editor, IEEE Transactions on Consumer Electronics, Special Issue on Federated Learning for Personalized Recommendation of Consumer Electronics 2023 - Present
Guest Editor, Computer Communications, Special Issue on Intelligent Device-free Sensing for Future Internet of Things: Emerging Trends and Challenges 2023 - Present
Lead Guest Editor, IEEE Internet of Things Journal, Special Issue on Aerial Computing for the Internet-of-Things (IoT) 2021 - 2023
TPC, IEEE International Conference on Communications (ICC) 2023
TPC, IEEE Wireless Communications and Networking Conference (WCNC) 2023
TPC, IEEE 98th Vehicular Technology Conference: VTC2023-Fall 2023
Reviewer, IEEE Communications Letters 2023
Reviewer, IEEE Communications Surveys and Tutorials 2023
Reviewer, IEEE Transactions on Communications 2023
Reviewer, IEEE Transactions on Wireless Communications 2023
Reviewer, IEEE Transactions on Vehicular Technology 2023
Reviewer, IEEE Transactions on Mobile Computing 2023
Reviewer, IEEE Journal on Selected Areas in Communications 2023
Reviewer, IEEE Journal of Selected Topics in Signal Processing 2023
Senior Reviewer, IEEE Open Journal of the Communications Society 2022 - Present
Language Skill Reading Skill Writing Skill Speaking
English Fluent Fluent Fluent
Korean Basic Basic Basic
Vietnamese Fluent Fluent Fluent
Details Date From Date To
IEEE Senior Member 08/2023
IEEE ComSoc Member 12/2022
IEEE VTS Member 12/2023
IEEE CTSoc WNT Technical Committee 10/2022
IEEE Member 10/2018 08/2023
Thien-Thanh Dao, Dae-Il Noh, Quoc-Viet Pham, Mikio Hasegawa, Hiroo Sekiya, Won-Joo Hwang, VT-MCNet: High-Accuracy Automatic Modulation Classification Model based on Vision Transformer, IEEE Communications Letters, 28, (1), 2024, p98 - 102, Journal Article, PUBLISHED  TARA - Full Text  DOI  URL
Ding, Yahao, Yang, Zhaohui, Pham, Quoc-Viet, Hu, Ye, Zhang, Zhaoyang, Shikh-Bahaei, Mohammad, Distributed Machine Learning for UAV Swarms: Computing, Sensing, and Semantics, IEEE Internet of Things Journal, 11, (5), 2024, p7447 - 7473, Journal Article, PUBLISHED  DOI
Luan N. T. Huynh, Md. Delowar Hossain, Quoc-Viet Pham, Yan Kyaw Tun, Eui-Nam Huh, A Block-structured Optimization Approach for Data Sensing and Computing in Vehicle-assisted Edge Computing Networks, IEEE Sensors Journal, 24, (1), 2024, p952 - 961, Journal Article, PUBLISHED  TARA - Full Text  DOI  URL
Alishahi, MohammadHossien, Fortier, Paul, Zeng, Ming, Pham, Quoc-Viet, Li, Xingwang, Energy Minimization for IRS-Aided Wireless Powered Federated Learning Networks With NOMA, IEEE Internet of Things Journal, 2024, Journal Article, PUBLISHED  DOI  URL
Huang, Mengyan, Gong, Fengkui, Li, Guo, Zhang, Nan, Pham, Quoc-Viet, Secure Precoding for Satellite NOMA-Aided Integrated Sensing and Communication, IEEE Internet of Things Journal, 2024, p1-1 , Journal Article, PUBLISHED  DOI
Boopathy, Prabadevi, Liyanage, Madhusanka, Deepa, Natarajan, Velavali, Mounik, Reddy, Shivani, Maddikunta, Praveen Kumar Reddy, Khare, Neelu, Gadekallu, Thippa Reddy, Hwang, Won-Joo, Pham, Quoc-Viet, Deep learning for intelligent demand response and smart grids: A comprehensive survey, Computer Science Review, 51, 2024, p100617 , Journal Article, PUBLISHED  DOI
The Emergence of Aerial Computing in, editor(s)Faisal Tariq, Imran Shafique Ansari, Muhammad Khandaker , 6G Wireless: The Communication Paradigm Beyond 2030, Chapter 2, CRC Press, 2023, [Quoc-Viet Pham, Ming Zeng, Zhaohui Yang, Zhiguo Ding, Won-Joo Hwang], Notes: [URL: https://www.taylorfrancis.com/chapters/edit/10.1201/9781003282211-2/irs-empowered-wireless-communications-ming-zeng-ebrahim-bedeer-xingwang-li-quoc-viet-pham-octavia-dobre-paul-fortier-leslie-rusch], Book Chapter, PUBLISHED
IRS-Empowered Wireless Communications in, editor(s)Faisal Tariq, Imran Shafique Ansari, Muhammad Khandaker , 6G Wireless: The Communication Paradigm Beyond 2030, Chapter 6, CRC Press, 2023, [Ming Zeng, Ebrahim Bedeer, Xingwang Li, Quoc-Viet Pham, Octavia A. Dobre, Paul Fortier, Leslie A. Rusch], Notes: [URL: https://www.taylorfrancis.com/chapters/edit/10.1201/9781003282211-2/irs-empowered-wireless-communications-ming-zeng-ebrahim-bedeer-xingwang-li-quoc-viet-pham-octavia-dobre-paul-fortier-leslie-rusch], Book Chapter, PUBLISHED
Blockchain for the Metaverse: State-of-the-Art and Applications in, editor(s)Dinh Thai Hoang, Diep N. Nguyen, Cong T. Nguyen, Ekram Hossain, Dusit Niyato , Metaverse Communication and Computing Networks: Applications, Technologies, and Approaches, Chapter 7, Wiley-IEEE Press, 2023, [Pawan Kumar Hegde, Rajeswari Chengoden, Nancy Victor, Thien Huynh The, Sweta Bhattacharya, Praveen Kumar Reddy Maddikunta, Thippa Reddy Gadekallu, Quoc-Viet Pham], Book Chapter, PUBLISHED
AI and Computer Vision Technologies for Metaverse in, editor(s)Dinh Thai Hoang, Diep N. Nguyen, Cong T. Nguyen, Ekram Hossain, Dusit Niyato , Metaverse Communication and Computing Networks: Applications, Technologies, and Approaches, Chapter 5, Wiley-IEEE Press, 2023, [Thien-Huynh The, Quoc-Viet Pham, Xuan-Qui Pham, Tan Do-Duy, Thippa Reddy Gadekallu], Book Chapter, PUBLISHED
  

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Khoi Do, Duong Nguyen, Hoa Nguyen, Long Tran-Thanh, Quoc-Viet Pham, Revisiting LARS for Large Batch Training Generalization of Neural Networks, arXiv preprint arXiv:2309.14053, Rome, Italy, 2023, Conference Paper, SUBMITTED
Minh Ngoc Luu, Minh-Duong Nguyen, Ebrahim Bedeer, Van Duc Nguyen, Dinh Thai Hoang, Diep N Nguyen, Quoc-Viet Pham, Sample-Driven Federated Learning for Energy-Efficient and Real-Time IoT Sensing, arXiv preprint arXiv:2310.07497, 2023, Journal Article, SUBMITTED
Mai Le, Thien Huynh-The, Tan Do-Duy, Thai-Hoc Vu, Won-Joo Hwang, Quoc-Viet Pham, Applications of Distributed Machine Learning for the Internet-of-Things: A Comprehensive Survey, arXiv preprint arXiv.2310.10549, 2023, Journal Article, SUBMITTED
Prabadevi Boopathy, Natarajan Deepa, Nancy Victor, Thippa Reddy Gadekallu, Praveen Kumar Reddy Maddikunta, Gokul Yenduri, Wei Wang, Quoc Viet Pham, Thien Huynh-The, Madhusanka Liyanage, Metaverse for Industry 5.0 in NextG Communications: Potential Applications and Future Challenges, arXiv preprint arXiv:2308.02677, 2023, Journal Article, SUBMITTED
Minh-Duong Nguyen, Quang-Vinh Do, Zhaohui Yang, Won-Joo Hwang, Quoc-Viet Pham, Joint Communication and Computation Framework for Goal-Oriented Semantic Communication with Distortion Rate Resilience, arXiv preprint arXiv:2309.14587, 2023, Journal Article, SUBMITTED

  

Award Date
IEEE ComSoc Best Young Researcher Award for EMEA 2023
Best Computer Science Scientists (in Ireland and worldwide), Research.com 2024
Best Paper Award, IEEE Consumer Electronics Magazine 2024
Coordination Support Award, Enterprise Ireland 2023-2025
World's Top 2% of Scientists, Stanford University List 2021-2023
Best Paper Award, IEEE ATC 2022
Golden globe award, Ministry of Science and Technology (Vietnam) 2021
Top Reviewer award, IEEE Transactions on Vehicular Technology 2020
Best PhD Dissertation Award, Inje University 2017
Dr. Pham's research interest is based on inter-disciplined approaches for the practical design of complex and communication networks. Specifically, his research is motivated via three phases of modeling the network, analyzing the modeled network, and designing algorithms. The first two phases are based on the use of various mathematical tools such as convex optimization, game theory, and machine learning, whereas the third phase is to design robust, efficient, and scalable algorithms for efficient performance. Based on that vision, his research focuses on three main thrusts called COIN, including COmputing (e.g., cloud edge computing, aerial computing, edge of things, and edge AI), Intelligence (e.g., wireless AI, deep learning, deep reinforcement learning, and federated learning), Networking (e.g., 6G wireless, IoT, intelligent surfaces, metaverse, and blockchain).